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Robust deep learning object recognition models rely on low frequency information in natural images

2022-02-02

Abstract excerpt

<h4>ABSTRACT</h4> Machine learning models have difficulty generalizing to data outside of the distribution they were trained on. In particular, vision models are usually vulnerable to adversarial attacks or common corruptions, to which the human visual system is robust. Recent studies have found that regularizing machine learning models to favor brain-like representations can improve model robustness, but it is u...

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Literature Corpus work
1cbc8501-59a8-5a8d-86b5-32c2b0097615
DOI
10.1101/2022.01.31.478509
Open publication

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